Senior Data Engineer (Python / Databricks / Azure)

Luxoft; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Luxoft is developing a sales planning and analytics platform for a premium German OEM in Asia, enabling data-driven decisions through scalable data processing, integration, and API-based consumption.

The role focuses on building data pipelines, APIs with FastAPI, and deploying on Azure. You will mentor junior engineers and contribute to architectural decisions while aligning with business stakeholders.

Qualifications

• 5+ years of software/data engineering experience.
• Hands-on experience with Databricks.
• Strong SQL and data modeling skills.
• Experience developing APIs with FastAPI.
• Experience with Azure cloud services.
• Understanding of ETL/ELT concepts and data pipeline design.
• Experience with Git and CI/CD pipelines.

Responsibilities

• Design and develop scalable data processing solutions using Python and Databricks.
• Build and maintain data pipelines for ingestion, transformation, and aggregation of business data.
• Develop REST APIs using FastAPI to expose data and analytical services to consuming applications.
• Design and optimize SQL queries and data models.
• Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions.
• Deploy and maintain solutions on Microsoft Azure.
• Drive best practices in performance optimization, monitoring, testing, and code quality.
• Mentor junior engineers and contribute to architectural decisions.

Skills

Python

Databricks

SQL

Data modeling

FastAPI

Azure Cloud services

ETL/ELT concepts

Git

CI/CD

Tools

Databricks

Azure Data Factory

Azure Synapse Analytics

Spark/PySpark

Job description

Development of a sales planning and analytics platform for a premium German OEM in the Asia region, enabling data-driven business decisions through scalable data processing, integration, and API-based data consumption.

Responsibilities

• Design and develop scalable data processing solutions using Python and Databricks
• Build and maintain data pipelines for ingestion, transformation, and aggregation of business data
• Develop REST APIs using FastAPI to expose data and analytical services to consuming applications
• Design and optimize SQL queries and data models
• Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions
• Deploy and maintain solutions on Microsoft Azure
• Drive best practices in performance optimization, monitoring, testing, and code quality
• Mentor junior engineers and contribute to architectural decisions

Mandatory Skills Description

• 5+ years of software/data engineering experience
• Hands-on experience with Databricks
• Strong SQL and data modeling skills
• Experience developing APIs with FastAPI
• Experience with Azure cloud services
• Understanding of ETL/ELT concepts and data pipeline design
• Experience with Git and CI/CD pipelines

Nice-to-Have Skills Description

• Experience with Azure Data Factory
• Experience with Azure Synapse Analytics
• Knowledge of Spark/PySpark
• Experience building data products for Sales, Marketing, or Business Planning